Mikhail A. Bragin (Member: IEEE, INFORMS, PES) is an Assistant Research Professor in the Department of Electrical and Computer Engineering at the University of Connecticut. His research work has been supported by the U.S. National Science Foundation, BNL, MISO, ISO-NE, ABB, CESMII, and AFRL. His research is geared toward solving complex technical and societal challenges within smart grids, supply chains, and artificial intelligence. Accordingly, his research interests include operations research, mathematical optimization, including power system optimization, grid integration of renewables (wind and solar), energy-based operation optimization of distributed energy systems, stochastic scheduling within manufacturing systems, and machine learning through deep neural networks. His research has appeared in top journals such as Journal of Optimization Theory and Applications, IEEE Transactions on Power Systems, IEEE Transactions on Automation Science and Engineering, and IEEE Robotics and Automation Letters as well as in top conferences such as INFORMS Annual Meeting and International Joint Conference on Artificial Intelligence.